Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use hossay/stool-condition-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hossay/stool-condition-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hossay/stool-condition-classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("hossay/stool-condition-classification") model = AutoModelForImageClassification.from_pretrained("hossay/stool-condition-classification") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jan05_17-12-10_DESKTOP-BDBS5RV
- Jan05_17-18-03_DESKTOP-BDBS5RV
- Jan05_17-18-52_DESKTOP-BDBS5RV
- Jan05_17-26-06_DESKTOP-BDBS5RV
- Jan06_12-28-05_DESKTOP-BDBS5RV
- Jan06_12-44-27_DESKTOP-BDBS5RV
- Jan06_13-54-50_DESKTOP-BDBS5RV
- Jan06_14-01-54_DESKTOP-BDBS5RV
- Jan06_14-11-38_DESKTOP-BDBS5RV
- Jan06_14-17-24_DESKTOP-BDBS5RV
- Jan06_14-17-43_DESKTOP-BDBS5RV
- Jan06_14-32-33_DESKTOP-BDBS5RV
- Mar25_13-36-15_hossayui-MacBook-Pro.local
- Mar25_13-45-43_hossayui-MacBook-Pro.local